Our client is building out a brand new, rapidly expanding product designed to facilitate the communication and document exchange between parties to fulfill Know Your Customer (KYC) regulatory laws. The platform enables the secure transfer of documents and data while making the process more efficient so entities can start trading sooner, gaining a competitive edge in the industry.

About the Machine Learning Team:

We are part of a new startup within the organization that leverages financial expertise, cutting edge technologies, and innovation to solve critical problems for the world's leading financial institutions and corporations. Our engineers focus on helping clients address regulatory and operational challenges arising from KYC (know your customer) and AML (Anti money laundering). We build a portfolio of rapidly increasing web-based products and APIs that facilitate secure document exchange and permissioning (Entity Exchange), data cleansing and verification (Entity Verification), and screening peps, sanctions and adverse media (Entity Screening).

On the KYC Machine Learning team, you will play a critical role in the development of these products. We focus on building models that extract entities, relationships among them, and pertinent intelligence from a diverse array of data-sets in the financial and regulatory ecosystems.

What's in it for you

Our customers use this information in making crucial decisions; it is paramount that our systems have high precision, accuracy, and low latency. As a member of this team, you will tackle a very interesting set of computational problems such as search and retrieval, document classification, named entity recognition (NER) and disambiguation (NED).

We'll trust you to

Identify and formulate various challenges in AML and KYC domains as Machine Learning (ML) problems.

Design, develop, and validated proposed ML solutions.

Deploy these solutions on a large scale where performance and maintainability are critical.

Stay abreast of latest advances and best practices in academia and industry.

PhD or Masters degree in IR / ML / NLP domain or Bachelors degree with at least 5+ years of relevant work experience.

We'd love to see

Publications in top-tier conferences or journals.

Experience with Big data technologies such as Spark and Hadoop.

Experience with Deep learning.

Understanding of AML or KYC.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.

Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.